Ways of Qualitative Coding: A Case Study of Four Strategies for Resolving Disagreements

Bonnie Chinh, Himanshu Zade, A. Ganji, Cecilia R. Aragon
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引用次数: 25

Abstract

The process of qualitative coding often involves multiple coders coding the same data to ensure reliable codes and a consistent understanding of the codebook. One aspect of qualitative coding includes resolving disagreements, where coders discuss differences in coding to reach a consensus. We conduct a case study to evaluate four strategies of disagreement resolution and understand their impact on the coding process. We find that an open discussion and the n-ary tree metric lead coders to focus more on the disagreement of a particular data instance, whereas kappa values and Code Wizard direct coders to compare code definitions. We discuss opportunities for using different strategies at different stages of the coding process for more effective disagreement resolution.
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定性编码的方法:解决分歧的四种策略的案例研究
定性编码的过程通常涉及多个编码人员对相同的数据进行编码,以确保可靠的代码和对码本的一致理解。定性编码的一个方面包括解决分歧,编码人员讨论编码中的差异以达成共识。我们进行了一个案例研究来评估四种解决分歧的策略,并了解它们对编码过程的影响。我们发现,开放讨论和n树度量使编码员更多地关注特定数据实例的分歧,而kappa值和代码向导则指导编码员比较代码定义。我们讨论了在编码过程的不同阶段使用不同策略以更有效地解决分歧的机会。
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